Model Card on HF 🤗: https://huggingface.co/codegood/Mistral_Instruct_SCQA
Mistral Instruct SCQA Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Mistral Instruct SCQA Parameters and Internals
| LLM Name | Mistral Instruct SCQA |
| Repository 🤗 | https://huggingface.co/codegood/Mistral_Instruct_SCQA |
| Required VRAM | 5 GB |
| Updated | 2025-02-05 |
| Maintainer | codegood |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral Instruct SCQA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 15 | 11 |
| Dolphin 2.9.2 Phi 3 Medium | 4K / 28 GB | 5516 | 20 |
| Lora Phi3 Mini | 4K / 5 GB | 6 | 0 |
| ...eZephir Sft Instruct Ead 16bit | 32K / 14.4 GB | 56 | 0 |
| ... Instruct Unsloth Merged 16bit | 4K / 7.6 GB | 1 | 1 |
| ... Mini 4K Instruct Bnb 4bit Ita | 4K / 7.6 GB | 2755 | 0 |
| Phi 3 Mini Hospital Topic 50 | 4K / 7.6 GB | 79 | 0 |
| MainPHI3 | 4K / 7.6 GB | 77 | 0 |
| Model | 4K / 7.6 GB | 78 | 0 |
| Phired | 4K / 7.6 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than codegood/Mistral_Instruct_SCQA .
Rank the Mistral Instruct SCQA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227